| 2026 | AAAI | Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges. | Meixia He, Peican Zhu, Le Cheng, Yangming Guo, Manman Yuan, Keke Tang |
| 2026 | AAAI | Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks. | Keke Tang, Tianyu Hao, Xiaofei Wang, Weilong Peng, Denghui Zhang, Peican Zhu, Zhihong Tian |
| 2025 | AAAI | Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges. | Meixia He, Peican Zhu, Keke Tang, Yangming Guo |
| 2025 | ICASSP | Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field. | Keke Tang, Weiyao Ke, Weilong Peng, Xiaofei Wang, Ziyong Du, Zhize Wu, Peican Zhu, Zhihong Tian |
| 2025 | IJCAI | SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs. | Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang, Keke Tang |
| 2025 | IJCAI | HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion. | Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao, Zhen Wang |
| 2025 | IJCNN | EOOD: Entropy-based Out-of-distribution Detection. | Guide Yang, Chao Hou, Weilong Peng, Xiang Fang, Yongwei Nie, Peican Zhu, Keke Tang |
| 2025 | MMM | EIA: Edge-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. | Zhensu Wang, Weilong Peng, Le Wang, Zhizhe Wu, Peican Zhu, Keke Tang |
| 2025 | SMC | SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection. | Peican Zhu, Yubo Jing, Le Cheng, Bin Chen, Xiaodong Cui, Lianwei Wu, Keke Tang |
| 2024 | AAAI | GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. | Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang |
| 2024 | AAAI | GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking. | Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang |
| 2024 | CVPR | CORES: Convolutional Response-based Score for Out-of-distribution Detection. | Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian |
| 2024 | EMNLP | Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning. | Botao Wang, Keke Tang, Peican Zhu |
| 2024 | HPCC | GAA-BD: Graph Adversarial Augmentation-based Social Bot Detection. | Nan Hu, Le Cheng, Botao Wang, Jiwei Xu, Keke Tang, Peican Zhu |
| 2024 | ICASSP | Reparameterization Head for Efficient Multi-Input Networks. | Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian |
| 2024 | IJCAI | A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. | Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu |
| 2024 | IJCAI | A General Black-box Adversarial Attack on Graph-based Fake News Detectors. | Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang |
| 2023 | CIKM | HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. | Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu |
| 2023 | ICDM | Matching Words for Out-of-distribution Detection. | Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang |
| 2023 | KSEM | DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. | Zepeng Fan, Peican Zhu, Chao Gao, Jinbang Hong, Keke Tang |
| 2023 | KSEM | Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. | Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu |
| 2023 | SMC | Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue? | Xu He, Keke Tang, Yawen Shi, Yin Li, Weilong Peng, Peican Zhu |
| 2022 | ESORICS | IoTEnsemble: Detection of Botnet Attacks on Internet of Things. | Ruoyu Li, Qing Li, Yucheng Huang, Wenbin Zhang, Peican Zhu, Yong Jiang |
| 2022 | KSEM | GM-Attack: Improving the Transferability of Adversarial Attacks. | Jinbang Hong, Keke Tang, Chao Gao, Songxin Wang, Sensen Guo, Peican Zhu |
| 2022 | SRDS | Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches. | Guorui Xie, Qing Li, Chupeng Cui, Peican Zhu, Dan Zhao, Wanxin Shi, Zhuyun Qi, Yong Jiang, Xi Xiao |
| 2021 | KSEM | Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge. | Haiqiang Wang, Xuyuan Dong, Zheng Luo, Junyou Zhu, Peican Zhu, Chao Gao |
| 2021 | KSEM | A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection. | Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu, Chao Gao |